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imbalance  

Preprocessing Algorithms for Imbalanced Datasets
View on CRAN: Click here


Download and install imbalance package within the R console
Install from CRAN:
install.packages("imbalance")

Install from Github:
library("remotes")
install_github("cran/imbalance")

Install by package version:
library("remotes")
install_version("imbalance", "1.0.2.1")



Attach the package and use:
library("imbalance")
Maintained by
Ignacio Cordón
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-13
Latest Update: 2020-04-07
Description:
Class imbalance usually damages the performance of classifiers. Thus, it is important to treat data before applying a classifier algorithm. This package includes recent resampling algorithms in the literature: (Barua et al. 2014) ; (Das et al. 2015) , (Zhang et al. 2014) ; (Gao et al. 2014) ; (Almogahed et al. 2014) . It also includes an useful interface to perform oversampling.
How to cite:
Ignacio Cordón (2017). imbalance: Preprocessing Algorithms for Imbalanced Datasets. R package version 1.0.2.1, https://cran.r-project.org/web/packages/imbalance. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2017-11-13 19:19), 0.1.1 (2017-11-15 16:18), 1.0.0 (2018-02-18 18:06), 1.0.2 (2019-12-18 06:40)
Other packages that cited imbalance R package
View imbalance citation profile
Other R packages that imbalance depends, imports, suggests or enhances
Complete documentation for imbalance
Functions, R codes and Examples using the imbalance R package
Some associated functions: banana . ecoli1 . glass0 . haberman . imbalance . imbalanceRatio . iris0 . mwmote . neater . newthyroid1 . oversample . pdfos . plotComparison . racog . rwo . trainWrapper . wisconsin . wracog . yeast4 . 
Some associated R codes: RcppExports.R . data.R . imbalance.R . mwmote.R . neater.R . pdfos.R . racog.R . rwo.R . utils.R . zzz.R .  Full imbalance package functions and examples
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